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AI Bias Worksheet for Kids

AI for students lesson 7: Bias: when data is unfair · Set 722 · 40 questions
TalentJR

AI tip (Fair data, fairer AI): Bias usually comes from the training data: if a group is missing or shown in only one way, the model copies that. One-sided data: one age group, only ripe mangoes, only adult voices, only neat handwriting. Balanced data: many ages, colours, voices, regions and styles. Reduce bias: add varied examples, check who is missing, test on many groups, fix wrong labels and listen to complaints.

NameDateTime takenScore ___ / 40
  1. 1.True or false: a fruit sorter shown only ripe mangoes is balanced data (fairer for everyone). (a) False (b) True
  2. 2.True or false: “add varied examples” adds to bias. (a) True (b) False
  3. 3.🔍 Which is the odd one out? (a) add varied examples (b) fix wrong labels (c) skip testing (d) balance the data
  4. 4.⚖️ One-sided or balanced data: mangoes both raw and ripe? (a) one-sided data (b) balanced data
  5. 5.True or false: “ignore complaints” helps reduce bias. (a) True (b) False
  6. 6.⚖️ One-sided or balanced data: leaves from every season of the year? (a) one-sided data (b) balanced data
  7. 7.🛠️ What helps make an AI system fairer? (a) fewer tests (b) one group only (c) ignoring mistakes (d) more varied data
  8. 8.True or false: photos of people from only one age group is one-sided data (likely to make a biased model). (a) True (b) False
  9. 9.⚖️ One-sided or balanced data: a handwriting app shown only neat writing? (a) balanced data (b) one-sided data
  10. 10.True or false: “add more of the same” helps reduce bias. (a) True (b) False
  11. 11.🛠️ Does this reduce bias or add to it: copy old unfair choices? (a) reduces bias (b) adds to bias
  12. 12.⚖️ Where does bias in an AI system usually come from? (a) its colour (b) its screen size (c) the weather (d) its training data
  13. 13.⚖️ One-sided or balanced data: stories where every doctor is a man? (a) balanced data (b) one-sided data
  14. 14.True or false: “ignore complaints” adds to bias. (a) True (b) False
  15. 15.True or false: “fix wrong labels” helps reduce bias. (a) True (b) False
  16. 16.🛠️ Does this reduce bias or add to it: ask different people? (a) adds to bias (b) reduces bias
  17. 17.True or false: photos of people of many ages and skin tones is one-sided data (likely to make a biased model). (a) False (b) True
  18. 18.🛠️ Does this reduce bias or add to it: balance the data? (a) reduces bias (b) adds to bias
  19. 19.🛠️ Does this reduce bias or add to it: ignore complaints? (a) reduces bias (b) adds to bias
  20. 20.Which of these helps reduce bias? (a) ask different people (b) skip testing (c) use one group only (d) test on one group only
  21. 21.🖼️ If an image generator always draws a scientist as a man, that shows… (a) a fair model (b) a broken screen (c) a strong battery (d) bias from data
  22. 22.🛠️ Does this reduce bias or add to it: use one group only? (a) adds to bias (b) reduces bias
  23. 23.Which of these helps reduce bias? (a) balance the data (b) ignore complaints (c) use one group only (d) skip testing
  24. 24.🗣️ A voice app understands adults but not children. What is the likely reason? (a) children speak too fast (b) few child voices in data (c) it was a rainy day (d) the phone was new
  25. 25.Which of these adds to bias? (a) fix wrong labels (b) add varied examples (c) copy old unfair choices (d) balance the data
  26. 26.⚖️ One-sided or balanced data: a fruit sorter shown only ripe mangoes? (a) balanced data (b) one-sided data
  27. 27.True or false: neat and messy writing from many people is balanced data (fairer for everyone). (a) False (b) True
  28. 28.🔍 Which is the odd one out? (a) ask different people (b) skip testing (c) ignore complaints (d) test on one group only
  29. 29.🔍 Which is the odd one out? (a) add varied examples (b) test on one group only (c) fix wrong labels (d) check who is missing
  30. 30.🛠️ Does this reduce bias or add to it: add varied examples? (a) reduces bias (b) adds to bias
  31. 31.True or false: photos of people from only one age group is balanced data (fairer for everyone). (a) False (b) True
  32. 32.True or false: neat and messy writing from many people is one-sided data (likely to make a biased model). (a) True (b) False
  33. 33.True or false: “use one group only” adds to bias. (a) False (b) True
  34. 34.🔍 Which is the odd one out? (a) ask different people (b) balance the data (c) ignore complaints (d) test on many groups
  35. 35.Which of these helps reduce bias? (a) ignore complaints (b) copy old unfair choices (c) add varied examples (d) use one group only
  36. 36.True or false: “balance the data” helps reduce bias. (a) False (b) True
  37. 37.🛠️ Does this reduce bias or add to it: add more of the same? (a) adds to bias (b) reduces bias
  38. 38.🔍 Which is the odd one out? (a) ignore complaints (b) use one group only (c) copy old unfair choices (d) test on many groups
  39. 39.True or false: “skip testing” adds to bias. (a) True (b) False
  40. 40.⚖️ One-sided or balanced data: photos of people from only one age group? (a) balanced data (b) one-sided data

Answer key

  1. False
  2. False
  3. skip testing
  4. balanced data
  5. False
  6. balanced data
  7. more varied data
  8. True
  9. one-sided data
  10. False
  11. adds to bias
  12. its training data
  13. one-sided data
  14. True
  15. True
  16. reduces bias
  17. False
  18. reduces bias
  19. adds to bias
  20. ask different people
  21. bias from data
  22. adds to bias
  23. balance the data
  24. few child voices in data
  25. copy old unfair choices
  26. one-sided data
  27. True
  28. ask different people
  29. test on one group only
  30. reduces bias
  31. False
  32. False
  33. True
  34. ignore complaints
  35. add varied examples
  36. True
  37. adds to bias
  38. test on many groups
  39. True
  40. one-sided data

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